Literature DB >> 15539357

Obtaining multiple separate food sources: behavioural intelligence in the Physarum plasmodium.

Toshiyuki Nakagaki1, Ryo Kobayashi, Yasumasa Nishiura, Tetsuo Ueda.   

Abstract

To evaluate performance in a complex survival task, we studied the morphology of the Physarum plasmodium transportation network when presented with multiple separate food sources. The plasmodium comprises a network of tubular elements through which chemical nutrient, intracellular signals and the viscous body are transported and circulated. When three separate food sources were presented, located at the vertices of a triangle, the tubular network connected them via a short pathway, which was often analogous to the mathematically shortest route known as Steiner's minimum tree (SMT). The other common network shape had high fault tolerance against accidental disconnection of the tubes and was known as cycle (CYC). Pattern selection appeared to be a bistable system involving SMT and CYC. When more than three food sources were presented, the network pattern tended to be a patchwork of SMT and CYC. We therefore concluded that the plasmodium tube network is a well designed and intelligent system.

Mesh:

Year:  2004        PMID: 15539357      PMCID: PMC1691859          DOI: 10.1098/rspb.2004.2856

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  6 in total

Review 1.  Exploring complex networks.

Authors:  S H Strogatz
Journal:  Nature       Date:  2001-03-08       Impact factor: 49.962

2.  Maze-solving by an amoeboid organism.

Authors:  T Nakagaki; H Yamada; A Tóth
Journal:  Nature       Date:  2000-09-28       Impact factor: 49.962

3.  Path finding by tube morphogenesis in an amoeboid organism.

Authors:  T Nakagaki; H Yamada; A Tóth
Journal:  Biophys Chem       Date:  2001-08-30       Impact factor: 2.352

4.  Smart network solutions in an amoeboid organism.

Authors:  Toshiyuki Nakagaki; Hiroyasu Yamada; Masahiko Hara
Journal:  Biophys Chem       Date:  2004-01-01       Impact factor: 2.352

5.  Interaction between cell shape and contraction pattern in the Physarum plasmodium.

Authors:  T Nakagaki; H Yamada; T Ueda
Journal:  Biophys Chem       Date:  2000-05-15       Impact factor: 2.352

6.  Reaction-diffusion-advection model for pattern formation of rhythmic contraction in a giant amoeboid cell of the physarum plasmodium

Authors: 
Journal:  J Theor Biol       Date:  1999-04-21       Impact factor: 2.691

  6 in total
  29 in total

1.  Speed-accuracy trade-offs during foraging decisions in the acellular slime mould Physarum polycephalum.

Authors:  Tanya Latty; Madeleine Beekman
Journal:  Proc Biol Sci       Date:  2010-09-08       Impact factor: 5.349

2.  Local cost minimization in ant transport networks: from small-scale data to large-scale trade-offs.

Authors:  A Bottinelli; E van Wilgenburg; D J T Sumpter; T Latty
Journal:  J R Soc Interface       Date:  2015-11-06       Impact factor: 4.118

3.  Structure and formation of ant transportation networks.

Authors:  Tanya Latty; Kai Ramsch; Kentaro Ito; Toshiyuki Nakagaki; David J T Sumpter; Martin Middendorf; Madeleine Beekman
Journal:  J R Soc Interface       Date:  2011-02-02       Impact factor: 4.118

4.  Shape optimization in lipid nanotube networks.

Authors:  T Lobovkina; P G Dommersnes; S Tiourine; J-F Joanny; O Orwar
Journal:  Eur Phys J E Soft Matter       Date:  2008-05-26       Impact factor: 1.890

5.  Flow-network adaptation in Physarum amoebae.

Authors:  Atsushi Tero; Kenji Yumiki; Ryo Kobayashi; Tetsu Saigusa; Toshiyuki Nakagaki
Journal:  Theory Biosci       Date:  2008-04-16       Impact factor: 1.919

Review 6.  The foundations of plant intelligence.

Authors:  Anthony Trewavas
Journal:  Interface Focus       Date:  2017-04-21       Impact factor: 3.906

7.  Slime mold uses an externalized spatial "memory" to navigate in complex environments.

Authors:  Chris R Reid; Tanya Latty; Audrey Dussutour; Madeleine Beekman
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-08       Impact factor: 11.205

8.  Animal transportation networks.

Authors:  Andrea Perna; Tanya Latty
Journal:  J R Soc Interface       Date:  2014-11-06       Impact factor: 4.118

9.  Transportation network with fluctuating input/output designed by the bio-inspired Physarum algorithm.

Authors:  Shin Watanabe; Atsuko Takamatsu
Journal:  PLoS One       Date:  2014-02-26       Impact factor: 3.240

10.  Biological solutions to transport network design.

Authors:  Daniel P Bebber; Juliet Hynes; Peter R Darrah; Lynne Boddy; Mark D Fricker
Journal:  Proc Biol Sci       Date:  2007-09-22       Impact factor: 5.349

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.